International Journal of New Developments in Engineering and Society, 2023, 7(2); doi: 10.25236/IJNDES.2023.070202.
Xiaowei Wang, Chengjian Wang, Xiaoran He
College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, 300457, Tianjin, China
The platform is a platform for learning artificial intelligence algorithm services. It provides users with artificial intelligence algorithm learning tools, visual algorithm models, drawing functions, online running code and other functions. In addition, users can exchange their learning experience and experience with other users in the platform through the learning communication page. Through this platform, users can not only learn and apply artificial intelligence algorithms, but also have other functions, such as blog communication, function image drawing, neural network structure visualization, intelligent voice assistant and virtual interactive assistant, which are functionally perfect and easy to use. There is a tremendous talent gap in the field of artificial intelligence in China. The platform can effectively help learners learn artificial intelligence. Algorithm visualization makes learning more visualized. The interesting function of the platform increases entertainment, promotes users ' learning motivation, and adapts to the current development of our country.
machine learning algorithm, artificial intelligence, platform, Web
Xiaowei Wang, Chengjian Wang, Xiaoran He. Design and implementation of artificial intelligence fusion experimental platform based on machine learning algorithm. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 2: 5-12. https://doi.org/10.25236/IJNDES.2023.070202.
[1] Xing Lu. Design and Implementation of Machine Learning Application Development Platform [D]. Xidian University, 2021. DOI: 10.27389/d.cnki.gxadu.2021.002701.
[2] Long Hu, Li Na. Research on the Construction of Machine Learning Platform under Big Data Technology [J]. Computer Knowledge and Technology, 2019, 15(10): 157-159. DOI: 10.14004/j. cnki.ckt. 2019.1262.
[3] Jang Seunghun, Na Gyoung S., Lee, Jungho, Shin, Jung Ho, Kim, Hyun Woo, Chang, Hyunju. An Easy, Simple, and Accessible Web-based Machine Learning Platform, SimPL-ML [J]. Integrating Materials and Manufacturing Innovation, 2022 (prepublish).
[4] Ma Haorang. Functions of machine learning cloud platform [J]. Computer & Network, 2020, 46(19): 41.
[5] Jiang G, Wang H, Chen J, et al. xLightFM: Extremely Memory-Efficient Factorization Machine [C]// SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2021.
[6] Li Caiyue. Research and Implementation of XSS and DDoS Attack Detection Methods in Web Application [D]. Beijing University of Posts and Telecommunications, 2020. DOI: 10.26969/d. cnki. gbydu.2020.001498.
[7] Zhang Kun, Zhang Yunxia, Sun Quanjian. Research on the principles and problems of computer software database design [J]. Electronic Technology & Software Engineering, 2022 (01): 168-171.
[8] Wang Yuan, Xie Wenxia, Kong Deli, Gao Xiping. On the application research status and development prospect of artificial intelligence technology [J]. Science and Technology & Innovation, 2019(20): 18-21. DOI: 10.15913/j.cnki.kjycx.2019.20.008.